Alexander Hagmann – Algorithmic Trading A-Z with Python, Machine Learning & AWS

Teacher

Chairman

About Course

File Size: 10.07 GB

Welcome to the most comprehensive Algorithmic Trading Course. It´s the first 100% Data-driven Trading Course!
In this rigorous but yet practical Course, we will leave nothing to chance, hope, vagueness, or hocus-pocus
Did you know that 75% of retail Traders lose money with Day Trading? (some sources say >95%)

For me as a Data Scientist and experienced Finance Professional this is not a surprise. Day Traders typically do not know/follow the five fundamental rules of (Day) Trading. This Course covers them all in detail!
1. Know and understand the Day Trading Business
Don´t start Trading if you are not familiar with terms like Bid-Ask Spread, Pips, Leverage, Margin Requirement, Half-Spread Costs, etc.

Part 1 of this course is all about Day Trading A-Z with the Brokers Oanda and FXCM. It deeply explains the mechanics, terms, and rules of Day Trading (covering Forex, Stocks, Indices, Commodities, Baskets, and more).

Also Get Alexander Hagmann – Algorithmic Trading A-Z with Python, Machine Learning & AWS on Traderknow.com

2. Use powerful and unique Trading Strategies

You need to have a Trading Strategy. Intuition or gut feeling is not a successful strategy in the long run (at least in 99.9% of all cases). Relying on simple Technical Rules doesn´t work either because everyone uses them.
You will learn how to develop more complex and unique Trading Strategies with Python. We will combine simple and also more complex Technical Indicators and we will also create Machine Learning- and Deep Learning- powered Strategies. The course covers all required coding skills (Python, Numpy, Pandas, Matplotlib, scikit-learn, Keras, Tensorflow) from scratch in a very practical manner.

3. Test your Strategies before you invest real money (Backtesting / Forward Testing)
Is your Trading Strategy profitable? You should rigorously test your strategy before ‘going live’.
This course is the most comprehensive and most rigorous Backtesting / Forward Testing course that you can find.
You will learn how to apply Vectorized Backtesting techniques, Iterative Backtesting techniques (event-driven), live Testing with play money, and more. And I will explain the difference between Backtesting and Forward Testing and show you what to use when. The backtesting techniques and frameworks covered in the course can be applied to long-term investment strategies as well!

Also Get Alexander Hagmann – Algorithmic Trading A-Z with Python, Machine Learning & AWS on Traderknow.com

4. Take into account Trading Costs – it´s all about Trading Costs!”Trading with zero commissions? Great!” … Well, there is still the Bid-Ask-Spread and even if 2 Pips seem to be very low, it isn´t!
The course demonstrates that finding profitable Trading Strategies before Trading Costs is simple. It´s way more challenging to find profitable Strategies after Trading Costs! Learn how to include Trading Costs into your Strategy and into Strategy Backtesting / Forward Testing. And most important: Learn how you can control and reduce Trading Costs.

5. Automate your Trades
Manual Trading is error-prone, time-consuming, and leaves room for emotional decision-making.
This course teaches how to implement and automate your Trading Strategies with Python, powerful Broker APIs and Amazon Web Services (AWS). Create your own Trading Bot and fully automate/schedule your trading sessions in the AWS Cloud!
Finally… this is more than just a course on automated Day Trading:
the techniques and frameworks covered can be applied to long-term investing as well.

it´s an in-depth Python Course that goes beyond what you can typically see in other courses. Create Software with Python and run it in real-time on a virtual Server (AWS)!
we will feed Machine Learning & Deep Learning Algorithms with real-time data and take ML/DL-based actions in real-time!
What are you waiting for? Join now. As always, there is no risk for you as I provide a 30-Days-Money-Back Guarantee!
Thanks and looking forward to seeing you in the Course!